Goal¶

This notebook introduces how to print "Hello, World!" on a GPU. It also covers basic Python functions, printing host information, and checking CPU/GPU details.

Required Modules for the Jupyter Notebook¶

Before running the notebook, we need to load the following modules.

Module: hello

Print 'Hello, World!' using GPU¶

To display a message in Python, we use the print() function. For example, lets print out Hello world!!! using print() function..

In [1]:
print('Hello world GPU!!!!')

Hello world GPU!!!!

Defining a Function in Python¶

Next, we use the def keyword to define a function. Here's an example of a function that takes a name as an argument and prints it:

In [2]:
# Import hello module
import hello

# Define a local function
def world2(name):
    print(name)
In [3]:
# Call function
world2("mary") 

mary

Using a Module Function¶

You can also call functions from imported modules. For example:

In [4]:
hello.greeting("good times")

Greetings, good times
In [5]:
hello.world("World.")

Hello, World.

Print out host information¶

In [6]:
!hostname

exp-1-58

Check the CPU information¶

In [7]:
!lscpu 

Architecture:        x86_64
CPU op-mode(s):      32-bit, 64-bit
Byte Order:          Little Endian
CPU(s):              40
On-line CPU(s) list: 0-39
Thread(s) per core:  1
Core(s) per socket:  20
Socket(s):           2
NUMA node(s):        2
Vendor ID:           GenuineIntel
CPU family:          6
Model:               85
Model name:          Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz
Stepping:            7
CPU MHz:             3900.000
CPU max MHz:         3900.0000
CPU min MHz:         1000.0000
BogoMIPS:            5000.00
L1d cache:           32K
L1i cache:           32K
L2 cache:            1024K
L3 cache:            28160K
NUMA node0 CPU(s):   0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38
NUMA node1 CPU(s):   1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39
Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke avx512_vnni md_clear flush_l1d arch_capabilities

Check to see if system is GPU:¶

In [8]:
!nvidia-smi

Fri Mar 28 10:45:42 2025       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.85.12    Driver Version: 525.85.12    CUDA Version: 12.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla V100-SXM2...  On   | 00000000:3B:00.0 Off |                    0 |
| N/A   30C    P0    41W / 300W |      0MiB / 32768MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

if you see: /bin/bash: nvidia-smi: command not found, the system is not GPU

Resources¶

Last Updated Date: October 01, 2024

Submit Ticket¶

If you find anything that needs to be changed, edited, or if you would like to provide feedback or contribute to the notebook, please submit a ticket by contacting us at:

Email: consult@sdsc.edu

We appreciate your input and will review your suggestions promptly!

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